Software
Open-source software for survival analysis, machine learning,
and functional data analysis in health research.
Packages
functionals
Functional programming utilities.
CRAN | PDF docs | R-universe
Cite: EL BADISY, I. (2025). functionals: Functional Programming with Parallelism and Progress Tracking. R package version 0.5.1. doi:10.32614/CRAN.package.functionals
unsurv
Unsupervised clustering of individualized survival curves.
CRAN | PDF docs | R-universe
Cite: EL BADISY, I. (2026). unsurv: Unsupervised Clustering of Individualized Survival Curves. R package version 0.5.0. doi:10.32614/CRAN.package.unsurv
tvrmst
Time-varying RMST tooling.
CRAN | PDF docs | R-universe
Cite: EL BADISY, I. (2026). tvrmst: Time-Varying Restricted Mean Survival Time from Survival Matrices. R package version 0.0.6. doi:10.32614/CRAN.package.tvrmst
mcstatsim
Monte Carlo statistical simulation.
CRAN | PDF docs | R-universe
Cite: EL BADISY, I. (2024). mcstatsim: Monte Carlo Statistical Simulation Tools Using a Functional Approach. R package version 0.5.1. doi:10.32614/CRAN.package.mcstatsim
missCforest
Missing-data random forest methods.
CRAN | PDF docs | R-universe
Cite: El Badisy, I. (2023). missCforest: Ensemble Conditional Trees for Missing Data Imputation. R package version 0.0.8. doi:10.32614/CRAN.package.missCforest
survalis
Survival machine learning framework.
CRAN | PDF docs | R-universe
Cite: El Badisy, I. (2026). survalis: Interpretable Survival Machine Learning Framework. R package version 1.0.0. doi:10.32614/CRAN.package.survalis
funcml
Functional machine learning framework.
CRAN | PDF docs | R-universe
Cite: EL BADISY, I. (2026). funcml: Functional Machine Learning Framework. R package version 0.9.0. doi:10.32614/CRAN.package.funcml
survdnn
Deep neural networks for right-censored survival analysis.
CRAN | PDF docs | R-universe
Cite: EL BADISY, I. (2026). survdnn: Deep Neural Networks for Survival Analysis with R 'torch'. R package version 1.0.0. doi:10.32614/CRAN.package.survdnn
mimar
Compact multiple imputation, assessment, and reporting.
CRAN | PDF docs | R-universe
Cite: EL BADISY, I. (2026). mimar: Compact Multiple Imputation, Assessment, and Reporting. R package version 1.0.0. doi:10.32614/CRAN.package.mimar
testflow
Statistical testing, interpretation, and ggplot2-based visualization.
CRAN | PDF docs | R-universe
Cite: EL BADISY, I. (2026). testflow: A Workflow for Statistical Testing, Interpretation, and 'ggplot2'-Based Visualization. R package version 1.0.0. doi:10.32614/CRAN.package.testflow
densemlp
Dense neural networks for tabular classification and regression.
CRAN | PDF docs | R-universe
Cite: EL BADISY, I. (2026). densemlp: Dense Neural Networks for Tabular Classification and Regression. R package version 0.6.0. doi:10.32614/CRAN.package.densemlp
CEACT
Cost-effectiveness analysis toolkit for clinical trials.
CRAN | PDF docs | R-universe
Cite: EL BADISY, I. (2026). CEACT: Cost-Effectiveness Analysis Toolkit for Clinical Trials. R package version 0.5.0. doi:10.32614/CRAN.package.CEACT
missknn
Fast masked k-nearest neighbor imputation.
CRAN | PDF docs | R-universe
Cite: EL BADISY, I. (2026). missknn: Fast Masked K-Nearest Neighbor Imputation. R package version 1.1.2. doi:10.32614/CRAN.package.missknn